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099		9	_aAIT RSPR no.IM-17-05
100	1		_aPonnuru, Anitha
245	1	0	_aTactical crime analysis using clustering on San Francisco crime data
260			_aPathum Thani, Thailand : _bAsian Institute of Technology, _c2017
300			_a52 leaves : _bill.
490	1		_aResearch studies project report ; _vno. IM-17-05
500			_aA research submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Information Management, School of Engineering and Technology
502			_aResearch studies project report (M. Eng.) - Asian Institute of Technology, 2017
520			_aIn the digital era, police forces have access to quickly expanding sources of information. The enormous increase in the amount of available data has made the use of data mining techniques essential in {uFB01}nding important patterns. This research, on the data collected from kaggle competition,San Francisco Crime Classi{uFB01}cation, will take combinations of type of crime and time to determine locations where it is more likelytooccur. Thiswillhelpinplanningpreventivemeasures. Thoughthekagglecompetition expected the participants to determine the type of crime occurring given they have knowledge about the time and location, in this paper the outcome is slightly changed since many studies have been done on the before mentioned problem.To predict the outcome i.e. given the type of crime and time, at which location(s) it{u2019}s more likely to occur, in this study the technique used will be k-means clustering . ForperformingK-meansclusteringWekadataminingtoolwasused.Alsothedifferenttypesof crimes were analyzedon the basis ofdays in a week and graphsare providedto understand the relation between the rates of crime and the day it is happening on. In the results the location(s) of the most prominent crimes and time are given which will help the police forces to take preventive measures.
650		0	_aData mining _xComputer programs
650		0	_aCluster analysis _xData processing
700	1		_aSumanta, Guha, _eChairperson
700	0		_aVatcharaporn Esichaikul, _eExamination Committee
700	0		_aChutiporn Anutariya, _eExamination committee
710	2		_aAIT Fellowship , _eScholarship donor
810	2		_aAsian Institute of Technology. _tResearch studies project report ; _vno. IM-17-05
856			_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B06938
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